要出发去新加坡了。临行前啥也没收拾，就把一柜子书码整齐了…从来没抗拒过电子书，但很多书还是习惯读纸质的，莫名其妙买了一柜子书📖📖📖📖📖 达成自定义成就：「小有藏书」👏

今天外公出院了，搬到我们小区里，明天他就能见到我弟弟了。弟弟两个多月了，每天都很爱睡觉，也很爱笑。我带女朋友回家旅游，妈妈接我们的第一晚，轻松地跟我说，外公之前病得很重，武汉的医院只让火化，所以才接回恩施，可以入土。医院的医生都没想到，外公奇迹般地转好了，出院了，只要好好照顾，别感冒。外公的肺很衰弱了，妈妈说，这八成是新冠的后遗症。新冠爆发期间，外公外婆在武汉家中得了重感冒，封锁了多久，就双双卧床了多久。一年后带外公体检，查抗体才意外发现，两位老人属于感染新冠后已痊愈的状态。那真的是新冠。妈妈和舅舅错愣良久，没敢告诉他们。妈妈说，以外婆的性子，只会后怕。唉，妈妈说，新冠影响了我们家太多，我说大家都这样。唉，愿家人平安。

Yi Sun, Xingzhi Wang, Jiayin Zhu, Liangjian Chen, Yuhang Jia, Jean M. Lawrence, Luo-hua Jiang, Xiaohui Xie, Jun Wu, Using machine learning to examine street green space types at a high spatial resolution: Application in Los Angeles County on socioeconomic disparities in exposure, Science of The Total Environment, Volume 787, 2021, 147653, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2021.147653. (https://www.sciencedirect.com/science/article/pii/S0048969721027248)

PDF

Abstract:

Background Compared to commonly-used green space indicators from downward-facing satellite imagery, street view-based green space may capture different types of green space and represent how environments are perceived and experienced by people on the ground, which is important to elucidate the underlying mechanisms linking green space and health. Objectives This study aimed to evaluate machine learning models that can classify the type of vegetation (i.e., tree, low-lying vegetation, grass) from street view images; and to investigate the associations between street green space and socioeconomic (SES) factors, in Los Angeles County, California. Methods SES variables were obtained from the CalEnviroScreen3.0 dataset. Microsoft Bing Maps images in conjunction with deep learning were used to measure total and types of street view green space, which were compared to normalized difference vegetation index (NDVI) as commonly-used satellite-based green space measure. Generalized linear mixed model was used to examine associations between green space and census tract SES, adjusting for population density and rural/urban status. Results The accuracy of the deep learning model was high with 92.5% mean intersection over union. NDVI were moderately correlated with total street view-based green space and tree, and weakly correlated with low-lying vegetation and grass. Total and three types of green space showed significant negative associations with neighborhood SES. The percentage of total green space decreased by 2.62 [95% confidence interval (CI): −3.02, −2.21, p < 0.001] with each interquartile range increase in CalEnviroScreen3.0 score. Disadvantaged communities contained approximately 5% less average street green space than other communities. Conclusion Street view imagery coupled with deep learning approach can accurately and efficiently measure eye-level street green space and distinguish vegetation types. In Los Angeles County, disadvantaged communities had substantively less street green space. Governments and urban planners need to consider the type and visibility of street green space from pedestrian's perspective.

tmd，用惯了r，开始用Python pandas，每一步我都知道要干啥，就是不知道要怎么做，太烦了！！我来把最基础的操作系统学习一下，记在这里备忘：

-1. 索引行列

直接用loc和iloc就好了：

1. 用行名、列名索引，就用loc；用行号、列号索引，就用iloc
2. 注意这个不是函数，是用df.loc[]，后面接方括号用的
3. 方括号里面的东西就好说了
   1. 用逗号,分隔不同的维度，比如2维表格就是[行, 列]
   2. 用字符串表示行名列名，或者数字表示行号列号
   3. 用冒号:表示连续区间，比如2:5就是区间2、3、4；还可以单用冒号表示一整个维度全选
   4. 举例子，第二行第三列：df.iloc[1, 2]，第四列：df.iloc[:, 3]，行名为name的那一行：df.loc['name', :]

在这个目的、功利、简历至上的时代（这无可指摘），我所信奉的一种生活方式（懒惰主义/浪漫主义）是：在某些上不了台面/不足为外人道的兴致上持续投入精力。例如在自己建的小破网站写狗屁诗，读对本专业毫无用处的书，喝酒，玩单机游戏，等等。

2020.10.19

做人好难，人真的有连贯性和完整性吗，午睡前后心态会有重大变化，在客厅里和在卧室里觉得人生目标都不一样，支离破碎的一个人怎样勠力同心？

Well!!!! I had thought my website was closed down and had no energy to recover it. But now I find it still accessible from a network outside CN. It's banned just because... I hadn't set up the website Bei'an asked by CN gov on time. I'm just lazy and busy.

So, now, I can still post something.

Start

I found an amazing software named sonic-pi.

You code the music.

You can write codes with loops, controlling sound effects with synthesizers.

And you can edit your codes while playing the music to control it, making you like a DJ!

Hadoop

概念

HDFS文件系统+MapReduce数据处理

假如有1T的数据，我想一行一行正则过滤出想要的内容。就需要

TensorFlow搭建RNN网络

b站看的爱可可老师上传的公开课《不用博士学位玩转Tensorflow深度学习》。这是第二集，第一集讲的是全连接和卷积网络。

Recurrent Neural Network

TensorFlow搭建手写识别网络

b站看的爱可可老师上传的公开课《不用博士学位玩转Tensorflow深度学习》。

话说爱可可-爱生活老师真·神仙老师，我从微博关注到b站。上次宣姐问我居然也关注他们老师，我才知道是北邮的老师。羡慕！！

理解